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A Correlated Binary Model for Ignorable Missing Data: Application to Rheumatoid Arthritis Clinical Data
Incomplete data are common phenomenon in research that adopts the longitudinal design approach. If incomplete observations are present in the longitudinal data structure, ignoring it could lead to bias in statistical inference and interpretation. We adopt the disposition model and extend it to the a...
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| Published in: | J Data Sci |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5210771/ https://ncbi.nlm.nih.gov/pubmed/28066502 |
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